Benjamin Root writes:
>
> On Tue, Feb 1, 2011 at 11:09 AM, Francesco Benincasa wrote:
>
> Hi all,
> I'm using pygrads for plotting maps from netcdf files.
> I use the contourf method, but I'm not able to fill the region where there are
> no value (there is the missing value -999) with a color
Vineeth,
I think that you are looking for
from matplotlib.ticker import MaxNLocator
-Sterling
On Mar 3, 2013, at 5:38PM, vineeth wrote:
> Hello,
>
> I have attached the histogram that I generated. When specifying large numbers
> like 1000 or more, the xticks tend to overlap and it gives a clu
Matplotlib User (I'm not sure how to address you),
I think that you are looking for either text() or annotate().
-Sterling
On Mar 5, 2013, at 4:12AM, nittopuran natya wrote:
> Hi,
>
> I have this script which gives output the image attached here. What I want is
> to give all the peak a numb
Sterling,
Thank you, ya I got it working using MaxNLocator
On Tue, Mar 5, 2013 at 12:49 PM, Sterling Smith wrote:
> Vineeth,
>
> I think that you are looking for
> from matplotlib.ticker import MaxNLocator
>
> -Sterling
>
> On Mar 3, 2013, at 5:38PM, vineeth wrote:
>
> > Hello,
> >
> > I have a
Hello all,
I have a quick question regarding the datum assumption when entering
lon/lat data into a Basemap object.
My understanding is that Basemap will use the datum specified upon
creation, the default being a sphere of radius 6,370,997 meters and
assume that the lon, lat entered in a cal
Thank you,
>
>1) There is a wide gap between label and the contours ie it appears like
>-- 2.4 . is there a way to reduce this gap?
Try inline=False for the clabel call, but that might over-do it.
I tried this but it totally removes the space, the inline_space=n do not app
On Mon, Mar 4, 2013 at 8:26 PM, Sudheer Joseph wrote:
> Thanks to all Matplotlib experts for extending help,
> With the suggestions I could make the script work and I am close to the
> target I had in mind,
> Below script produces as depth longitude contou-filled plot.
> However I have below conc
Sounds like a nice feature if it doesn't already exist. At first glance,
I'd say this was a good candidate for the "low-hanging fruit" label (
https://github.com/matplotlib/matplotlib/issues?labels=low+hanging+fruit&page=1&state=open)
for which we have tickets which have a low matplotlib contributi
